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Preprint VersionCC BY V4.0, Open Access
Preprint
AR-based Modern Healthcare: A Review
arXiv, Vol.16 January 2021, 2101.06364
Cornell University
2021
Abstract
The recent advances of Augmented Reality (AR) in healthcare have shown that technology is a significant part of the current healthcare system. In recent days, augmented reality has proposed numerous smart applications in healthcare domain including wearable access, telemedicine, remote surgery, diagnosis of medical reports, emergency medicine, etc. The aim of the developed augmented healthcare application is to improve patient care, increase efficiency, and decrease costs. This article puts on an effort to review the advances in AR-based healthcare technologies and goes to peek into the strategies that are being taken to further this branch of technology. This article explores the important services of augmented-based healthcare solutions and throws light on recently invented ones as well as their respective platforms. It also addresses concurrent concerns and their relevant future challenges. In addition, this paper analyzes distinct AR security and privacy including security requirements and attack terminologies. Furthermore, this paper proposes a security model to minimize security risks. Augmented reality's advantages in healthcare, especially for operating surgery, emergency diagnosis, and medical training is being demonstrated here thorough proper analysis. To say the least, the article illustrates a complete overview of augmented reality technology in the modern healthcare sector by demonstrating its impacts, advancements, current vulnerabilities; future challenges, and concludes with recommendations to a new direction for further research.
Details
- Title
- AR-based Modern Healthcare: A Review
- Authors
- Jinat Ara (Author) - Jahangirnagar UniversityHanif Bhuiyan (Author) - Queensland University of TechnologyYeasin Arafat Bhuiyan (Author) - University of DhakaSalma Bhyan (Author) - University of the Sunshine Coast, Queensland, School of Health and Behavioural Sciences - LegacyMuhammad Ismail Bhuiyan (Author) - Sylhet MAG Osmani Medical College
- Publication details
- arXiv, Vol.16 January 2021, 2101.06364
- Publisher
- Cornell University
- Date published
- 2021
- DOI
- 10.48550/arXiv.2101.06364
- ISSN
- 2331-8422
- Organisation Unit
- School of Health - Biomedicine; University of the Sunshine Coast, Queensland; Library Services; School of Health and Behavioural Sciences - Legacy
- Language
- English
- Record Identifier
- 99510607002621
- Output Type
- Preprint
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